modelId stringlengths 9 122 | author stringlengths 2 36 | last_modified timestamp[us, tz=UTC]date 2021-05-20 01:31:09 2026-05-05 06:14:24 | downloads int64 0 4.03M | likes int64 0 4.32k | library_name stringclasses 189
values | tags listlengths 1 237 | pipeline_tag stringclasses 53
values | createdAt timestamp[us, tz=UTC]date 2022-03-02 23:29:04 2026-05-05 05:54:22 | card stringlengths 500 661k | entities listlengths 0 30 |
|---|---|---|---|---|---|---|---|---|---|---|
nightmedia/Qwen3-14B-Scientist-qx64-hi-mlx | nightmedia | 2026-01-02T15:44:46Z | 20 | 0 | mlx | [
"mlx",
"safetensors",
"qwen3",
"coding",
"research",
"deep thinking",
"128k context",
"Qwen3",
"All use cases",
"creative",
"creative writing",
"fiction writing",
"plot generation",
"sub-plot generation",
"story generation",
"scene continue",
"storytelling",
"fiction story",
"sci... | text-generation | 2025-12-30T05:24:39Z | # Qwen3-14B-Scientist-qx64-hi-mlx
Performance metrics of MLX quants:
```brainwave
qx64-hi 0.509,0.641,0.888,0.742,0.412,0.797,0.713
qx86-hi 0.512,0.649,0.887,0.747,0.416,0.801,0.712
```
> You are a local running AI in my lab, my name is G, I created this model. Given all known characters in Star Trek TNG and DS9 that ... | [] |
gabriellarson/II-Search-4B-GGUF | gabriellarson | 2025-08-05T15:21:43Z | 105 | 2 | null | [
"gguf",
"base_model:Intelligent-Internet/II-Search-4B",
"base_model:quantized:Intelligent-Internet/II-Search-4B",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-08-05T15:07:02Z | 
# II-Search-4B
<aside>
A 4B parameter language model specialized in information seeking, multi-hop reasoning, and web-integrated search, achieving state-of-the-art performance among models of simi... | [] |
CNCL-Penn-State/CrPO-llama-3.1-8b-instruct-sur | CNCL-Penn-State | 2026-03-27T16:01:24Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"en",
"dataset:CNCL-Penn-State/MuCE-Pref",
"arxiv:2505.14442",
"base_model:CNCL-Penn-State/CrPO-sft-llama-3.1-8b-instruct",
"base_model:finetune:CNCL-Penn-State/CrPO-sft-llama-3.1-8b-instruct",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2025-06-10T08:54:42Z | # CrPO-Llama-3.1-8B-Instruct-sur
This is a [CrPO-sft-llama-3.1-8b-instruct](https://huggingface.co/CNCL-Penn-State/CrPO-sft-llama-3.1-8b-instruct) model preference-finetuned on the [MuCE-Pref](https://huggingface.co/datasets/CNCL-Penn-State/MuCE-Pref) dataset from the [Creative Preference Optimization](https://arxiv.o... | [
{
"start": 271,
"end": 303,
"text": "Creative Preference Optimization",
"label": "evaluation dataset",
"score": 0.7730458378791809
},
{
"start": 479,
"end": 511,
"text": "Creative Preference Optimization",
"label": "evaluation dataset",
"score": 0.854434072971344
}
] |
Muapi/rie-asian-face-flux-lora | Muapi | 2025-09-01T20:32:10Z | 0 | 0 | null | [
"lora",
"stable-diffusion",
"flux.1-d",
"license:openrail++",
"region:us"
] | null | 2025-09-01T20:32:02Z | # Rie : Asian Face Flux LoRA
**Base model**: Flux.1 D
**Trained words**: Girl, Women
## 🧠 Usage (Python)
🔑 **Get your MUAPI key** from [muapi.ai/access-keys](https://muapi.ai/access-keys)
```python
import requests, os
url = "https://api.muapi.ai/api/v1/flux_dev_lora_image"
headers = {... | [] |
abdabd22001/micheal_scott_LoRA | abdabd22001 | 2025-09-07T07:19:29Z | 0 | 0 | diffusers | [
"diffusers",
"tensorboard",
"text-to-image",
"diffusers-training",
"lora",
"template:sd-lora",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"base_model:adapter:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"re... | text-to-image | 2025-08-10T16:16:59Z | <!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# SDXL LoRA DreamBooth - abdabd22001/micheal_scott_LoRA
<Gallery />
## Model description
These are abdabd22001/micheal_s... | [] |
FiveC/zh_za_sc | FiveC | 2026-03-14T14:16:28Z | 31 | 0 | transformers | [
"transformers",
"safetensors",
"mbart",
"text2text-generation",
"generated_from_trainer",
"base_model:facebook/mbart-large-50-many-to-many-mmt",
"base_model:finetune:facebook/mbart-large-50-many-to-many-mmt",
"endpoints_compatible",
"region:us"
] | null | 2026-03-14T14:11:00Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# zh_za_sc
This model is a fine-tuned version of [facebook/mbart-large-50-many-to-many-mmt](https://huggingface.co/facebook/mbart-l... | [
{
"start": 248,
"end": 279,
"text": "mbart-large-50-many-to-many-mmt",
"label": "benchmark name",
"score": 0.6059218645095825
},
{
"start": 428,
"end": 432,
"text": "Loss",
"label": "evaluation metric",
"score": 0.767128050327301
},
{
"start": 434,
"end": 440,... |
kevinwufei/deepguard-detector | kevinwufei | 2026-03-16T22:35:56Z | 0 | 0 | null | [
"image-classification",
"deepfake-detection",
"clip",
"ai-generated-content",
"en",
"license:mit",
"region:us"
] | image-classification | 2026-03-16T21:35:33Z | # DeepGuard CLIP Detector v1
**Fine-tuned CLIP ViT-B/32 model for detecting AI-generated images and deepfakes.**
Built by [DeepGuard](https://deepguard.org) — AI Anti-Fraud Detection Platform.
## Model Description
This model is fine-tuned from OpenAI CLIP ViT-B/32 to classify images as either:
- **AI-generated** (M... | [
{
"start": 421,
"end": 435,
"text": "CIFAKE Dataset",
"label": "evaluation dataset",
"score": 0.9440470933914185
},
{
"start": 666,
"end": 674,
"text": "F1 Score",
"label": "evaluation metric",
"score": 0.7635065913200378
},
{
"start": 687,
"end": 706,
"te... |
aomar85/enhanced_stance_detection_multiseed-fold5-seed777 | aomar85 | 2026-02-15T20:12:29Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"bert",
"text-classification",
"generated_from_trainer",
"base_model:aubmindlab/bert-base-arabertv02-twitter",
"base_model:finetune:aubmindlab/bert-base-arabertv02-twitter",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | text-classification | 2026-02-15T19:53:42Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# enhanced_stance_detection_multiseed-fold5-seed777
This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02-twitter]... | [
{
"start": 482,
"end": 490,
"text": "Accuracy",
"label": "evaluation metric",
"score": 0.9323866367340088
},
{
"start": 492,
"end": 498,
"text": "0.8284",
"label": "evaluation metric",
"score": 0.6779582500457764
},
{
"start": 542,
"end": 548,
"text": "F1 ... |
mradermacher/Qwen2.5-Coder-7B-manim-GGUF | mradermacher | 2025-10-03T21:34:24Z | 121 | 0 | transformers | [
"transformers",
"gguf",
"code-generation",
"manim",
"python",
"animation",
"mathematics",
"unsloth",
"qlora",
"text-generation-inference",
"peft",
"lora",
"en",
"dataset:dalle2/3blue1brown-manim",
"base_model:Harish102005/Qwen2.5-Coder-7B-manim",
"base_model:adapter:Harish102005/Qwen2.... | null | 2025-10-03T21:25:53Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
MAJDALsakar/smolvlm2-trained-lora | MAJDALsakar | 2025-08-12T10:38:25Z | 0 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"generated_from_trainer",
"trl",
"sft",
"endpoints_compatible",
"region:us"
] | null | 2025-08-11T09:56:44Z | # Model Card for smolvlm2-trained-lora
This model is a fine-tuned version of [None](https://huggingface.co/None).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
question = "If you had a time machine, but could only go to the past or th... | [] |
mradermacher/Llama-3-TRACHI-8B-Instruct-GGUF | mradermacher | 2025-09-11T10:27:16Z | 32 | 0 | transformers | [
"transformers",
"gguf",
"en",
"dataset:norygano/TRACHI",
"base_model:pdjohn/Llama-3-TRACHI-8B-Instruct",
"base_model:quantized:pdjohn/Llama-3-TRACHI-8B-Instruct",
"license:llama3",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-09-11T07:55:30Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static qu... | [] |
Opt-AI/llama_v3_2_1b_instruct-genie-w4a16-qualcomm_snapdragon_8gen3-optai | Opt-AI | 2026-04-18T09:08:43Z | 0 | 0 | null | [
"llama",
"qualcomm",
"genie",
"qnn",
"on-device",
"snapdragon",
"text-generation",
"conversational",
"en",
"base_model:meta-llama/Llama-3.2-1B-Instruct",
"base_model:finetune:meta-llama/Llama-3.2-1B-Instruct",
"region:us"
] | text-generation | 2026-04-18T08:59:03Z | # Llama 3.2 1B Instruct Genie W4A16 for Snapdragon 8 Gen 3
This repository contains Opt-AI packaged runtime artifacts for `meta-llama/Llama-3.2-1B-Instruct`, targeting **Qualcomm Snapdragon 8 Gen 3**.
The files in this repository were imported from **Qualcomm AI Hub** artifacts and uploaded by **Opt-AI** for Hugging ... | [] |
tmdeptrai3012/qwen2-5-weighted-finetune | tmdeptrai3012 | 2026-03-06T21:43:18Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"sft",
"trl",
"base_model:Qwen/Qwen2.5-VL-3B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-VL-3B-Instruct",
"endpoints_compatible",
"region:us"
] | null | 2026-03-06T20:55:50Z | # Model Card for qwen2-5-weighted-finetune
This model is a fine-tuned version of [Qwen/Qwen2.5-VL-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-3B-Instruct).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
question = "If you had a... | [] |
qing-yao/handcoded_nunique_nb150k_160m_ep5_lr1e-4_seed42 | qing-yao | 2025-12-27T07:56:01Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"gpt_neox",
"text-generation",
"generated_from_trainer",
"base_model:EleutherAI/pythia-160m",
"base_model:finetune:EleutherAI/pythia-160m",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-12-27T07:55:19Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# handcoded_nunique_nb150k_160m_ep5_lr1e-4_seed42
This model is a fine-tuned version of [EleutherAI/pythia-160m](https://huggingfac... | [
{
"start": 647,
"end": 660,
"text": "learning_rate",
"label": "evaluation metric",
"score": 0.750910222530365
},
{
"start": 662,
"end": 668,
"text": "0.0001",
"label": "evaluation metric",
"score": 0.6323176622390747
}
] |
hrushi777/xlm-roberta-base-finetuned-panx-de | hrushi777 | 2025-11-18T22:11:15Z | 0 | 0 | null | [
"pytorch",
"tensorboard",
"xlm-roberta",
"generated_from_trainer",
"dataset:xtreme",
"license:mit",
"model-index",
"region:us"
] | null | 2025-11-18T22:00:20Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-base-finetuned-panx-de
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-ba... | [
{
"start": 412,
"end": 418,
"text": "0.1350",
"label": "evaluation metric",
"score": 0.9317395687103271
},
{
"start": 425,
"end": 431,
"text": "0.8626",
"label": "evaluation metric",
"score": 0.9140181541442871
},
{
"start": 707,
"end": 720,
"text": "learn... |
mradermacher/qwen8b_secreason-GGUF | mradermacher | 2025-07-11T02:37:12Z | 23 | 1 | transformers | [
"transformers",
"gguf",
"en",
"base_model:jonluj/qwen8b_secreason",
"base_model:quantized:jonluj/qwen8b_secreason",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-05-20T05:56:21Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/jonluj/qwen8b_secreason
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page f... | [] |
mehta7408/qlora-mistral-green-patent | mehta7408 | 2026-03-05T02:46:39Z | 21 | 0 | peft | [
"peft",
"safetensors",
"qlora",
"lora",
"green-technology",
"patent-classification",
"Y02",
"4bit",
"bitsandbytes",
"text-generation",
"conversational",
"en",
"dataset:custom",
"base_model:mistralai/Mistral-7B-Instruct-v0.3",
"base_model:adapter:mistralai/Mistral-7B-Instruct-v0.3",
"re... | text-generation | 2026-03-04T23:53:52Z | # QLoRA Fine-Tuned Mistral-7B for Green Patent Classification
A **QLoRA adapter** for [Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3), fine-tuned to classify patent claims as **green technology (Y02)** or **non-green**.
## Model Details
| Parameter | Value |
|-----------|-------... | [] |
Novaciano/G3-Emotional-1B-iMatrix-GGUF | Novaciano | 2026-01-30T00:40:09Z | 11 | 0 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"llama-cpp",
"gguf-my-repo",
"base_model:Novaciano/G3-Emotional-1B",
"base_model:quantized:Novaciano/G3-Emotional-1B",
"endpoints_compatible",
"region:us",
"imatrix"
] | null | 2026-01-30T00:39:56Z | # G3-Emotional-1B
**Model creator:** [Novaciano](https://huggingface.co/Novaciano)<br/>
**Original model**: [Novaciano/G3-Emotional-1B](https://huggingface.co/Novaciano/G3-Emotional-1B)<br/>
**GGUF quantization:** provided by [Novaciano](https:/huggingface.co/Novaciano) using `llama.cpp`<br/>
## Special thanks
🙏 Speci... | [] |
karis-fire/gemma3-1B-it-int4 | karis-fire | 2026-02-11T04:48:34Z | 0 | 0 | null | [
"license:gemma",
"region:us"
] | null | 2026-02-11T04:05:20Z | このリポジトリに含まれるモデル「gemma3-1b-it-int」の著作権および関連する知的財産権は Google などの元の権利者に帰属します。本リポジトリは、Kaggle 等で公開されている同モデルを Android アプリからダウンロードしやすくするための実験的なミラーであり、公式配布元ではありません。ご利用にあたっては、必ず元のライセンスおよび利用規約に従ってください。
The model “gemma3-1b-it-int” in this repository is the property of its original rights holders (e.g., Google) and is not owned b... | [] |
UnifiedHorusRA/Game_Boy_Camera_Pixel_Style_-_Flux_Qwen | UnifiedHorusRA | 2025-09-10T05:57:08Z | 0 | 0 | null | [
"custom",
"art",
"en",
"region:us"
] | null | 2025-09-08T07:03:16Z | # Game Boy Camera Pixel Style - Flux & Qwen
**Creator**: [DamnThatAI](https://civitai.com/user/DamnThatAI)
**Civitai Model Page**: [https://civitai.com/models/1487247](https://civitai.com/models/1487247)
---
This repository contains multiple versions of the 'Game Boy Camera Pixel Style - Flux & Qwen' model from Civi... | [] |
pooja420/pi05_base_recordnew-50 | pooja420 | 2026-03-03T14:51:37Z | 108 | 0 | lerobot | [
"lerobot",
"safetensors",
"robotics",
"pi05",
"dataset:pooja420/recordnew-50",
"license:apache-2.0",
"region:us"
] | robotics | 2026-03-03T09:27:45Z | # Model Card for pi05
<!-- Provide a quick summary of what the model is/does. -->
**π₀.₅ (Pi05) Policy**
π₀.₅ is a Vision-Language-Action model with open-world generalization, from Physical Intelligence. The LeRobot implementation is adapted from their open source OpenPI repository.
**Model Overview**
π₀.₅ repres... | [] |
ferrazzipietro/CrfTask-unsup-gemma-3-1b-it-datav2-all | ferrazzipietro | 2026-02-18T02:30:49Z | 1 | 0 | peft | [
"peft",
"safetensors",
"base_model:adapter:ferrazzipietro/unsup-gemma-3-1b-it-datav2",
"lora",
"transformers",
"text-generation",
"conversational",
"base_model:ferrazzipietro/unsup-gemma-3-1b-it-datav2",
"license:gemma",
"region:us"
] | text-generation | 2026-02-18T02:30:40Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# unsup-gemma-3-1b-it-datav2-all
This model is a fine-tuned version of [ferrazzipietro/unsup-gemma-3-1b-it-datav2](https://huggingf... | [
{
"start": 467,
"end": 475,
"text": "F1 Micro",
"label": "benchmark name",
"score": 0.7091905474662781
},
{
"start": 483,
"end": 491,
"text": "F1 Macro",
"label": "benchmark name",
"score": 0.6040909886360168
},
{
"start": 493,
"end": 496,
"text": "0.0",
... |
rohanksaxena/opus-mt-en-de | rohanksaxena | 2026-04-21T19:44:01Z | 0 | 0 | null | [
"translation",
"ctranslate2",
"opus-mt",
"unreal-engine",
"en",
"ge",
"license:cc-by-4.0",
"region:us"
] | translation | 2026-04-21T19:05:25Z | # opus-mt-en-de (CTranslate2 INT8)
CTranslate2 INT8 quantized conversion of [Helsinki-NLP/opus-mt-en-de](https://huggingface.co/Helsinki-NLP/opus-mt-en-de)
for use with the Unreal Engine Offline Translator Plugin.
## Usage
This model is intended to be used with the Unreal Engine Offline Translator plugin.
It... | [] |
voNori/for_matsuolab_lecture | voNori | 2026-02-24T10:48:27Z | 24 | 0 | peft | [
"peft",
"safetensors",
"qlora",
"lora",
"structured-output",
"text-generation",
"en",
"dataset:u-10bei/structured_data_with_cot_dataset_512_v2",
"dataset:u-10bei/structured_data_with_cot_dataset_512_v4",
"dataset:daichira/structured-3k-mix-sft",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_... | text-generation | 2026-02-24T02:00:02Z | ＜ qwen3-4b-structured-output-lora_1-1_1-2_2-1＞
This repository provides a **LoRA adapter** fine-tuned from
**Qwen/Qwen3-4B-Instruct-2507** using **QLoRA (4-bit, Unsloth)**.
This repository contains **LoRA adapter weights only**.
The base model must be loaded separately.
## Training Objective
This adapter is trained... | [] |
kagyvro48/pi0-policy-250-default | kagyvro48 | 2025-12-07T11:19:11Z | 0 | 0 | lerobot | [
"lerobot",
"safetensors",
"pi0",
"robotics",
"dataset:kagyvro48/arracher_une_mauvaise_herbe_250",
"license:apache-2.0",
"region:us"
] | robotics | 2025-12-07T11:15:56Z | # Model Card for pi0
<!-- Provide a quick summary of what the model is/does. -->
**π₀ (Pi0)**
π₀ is a Vision-Language-Action model for general robot control, from Physical Intelligence. The LeRobot implementation is adapted from their open source OpenPI repository.
**Model Overview**
π₀ represents a breakthrough ... | [] |
mradermacher/sphinx-qwen3-4b-GGUF | mradermacher | 2026-04-10T13:26:16Z | 390 | 0 | transformers | [
"transformers",
"gguf",
"en",
"base_model:maveryn/sphinx-qwen3-4b",
"base_model:quantized:maveryn/sphinx-qwen3-4b",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2026-04-07T15:21:14Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
static q... | [] |
tinyllms/deepseek-r1-distill-qwen-7b-sft-game24 | tinyllms | 2026-03-15T12:42:55Z | 40 | 0 | null | [
"safetensors",
"qwen2",
"max_seq_length=16384",
"lr=2e-5",
"batch_size=1",
"grad_accum=16",
"epochs=3",
"qlora",
"quantize=4bit_nf4",
"lora_rank=64",
"lora_alpha=128",
"lora_dropout=0.05",
"completion_only_loss",
"eval_size=0.1",
"cosine_schedule",
"warmup=0.05",
"bf16",
"run_name=... | null | 2026-03-15T11:47:25Z | # DeepSeek-R1-Distill-Qwen-7B SFT — Game24 (16384)
Fine-tuned from **deepseek-ai/DeepSeek-R1-Distill-Qwen-7B** using QLoRA (4-bit NF4 quantization + LoRA adapters, merged before upload).
## Training Configuration
- **Learning rate:** 2e-5 (cosine schedule, 5% warmup)
- **Batch size:** 1 per device, gradient accumula... | [
{
"start": 36,
"end": 42,
"text": "Game24",
"label": "benchmark name",
"score": 0.6277377009391785
}
] |
HPLT/hplt_gpt_bert_base_3_0_tam_Taml | HPLT | 2026-02-25T17:00:42Z | 21 | 0 | null | [
"pytorch",
"BERT",
"HPLT",
"encoder",
"text2text-generation",
"custom_code",
"ta",
"tam",
"dataset:HPLT/HPLT3.0",
"arxiv:2511.01066",
"arxiv:2410.24159",
"license:apache-2.0",
"region:us"
] | null | 2026-01-31T11:38:21Z | # HPLT v3.0 GPT-BERT for Tamil
<img src="https://hplt-project.org/_next/static/media/logo-hplt.d5e16ca5.svg" width=12.5%>
This is one of the monolingual language models trained as a third release by the [HPLT project](https://hplt-project.org/).
Our models follow the setup of [GPT-BERT](https://aclanthology.org/2024.... | [] |
BEncoderRT/Pythia-QLoRA-Instruction-Tuning | BEncoderRT | 2026-01-13T02:09:31Z | 2 | 0 | peft | [
"peft",
"safetensors",
"QLORA",
"Instruction-Tuning",
"text-generation",
"en",
"dataset:databricks/databricks-dolly-15k",
"base_model:EleutherAI/pythia-1b-deduped",
"base_model:adapter:EleutherAI/pythia-1b-deduped",
"license:mit",
"region:us"
] | text-generation | 2026-01-05T01:50:00Z | ## “Predict the next token”
# not
## “Obey the instruction”
# QLoRA Instruction Tuning on Pythia-1B
This repository provides a **Hugging Face–compatible LoRA adapter** trained via **QLoRA (4-bit quantization + LoRA adapters)** on the **EleutherAI Pythia-1B-deduped** base model.
The project focuses on **produci... | [] |
hector0109/force_plug_prediction | hector0109 | 2025-12-12T13:54:51Z | 0 | 0 | lerobot | [
"lerobot",
"safetensors",
"smolvla",
"robotics",
"dataset:local/force_plug_test",
"arxiv:2506.01844",
"base_model:lerobot/smolvla_base",
"base_model:finetune:lerobot/smolvla_base",
"license:apache-2.0",
"region:us"
] | robotics | 2025-12-12T13:49:56Z | # Model Card for smolvla
<!-- Provide a quick summary of what the model is/does. -->
[SmolVLA](https://huggingface.co/papers/2506.01844) is a compact, efficient vision-language-action model that achieves competitive performance at reduced computational costs and can be deployed on consumer-grade hardware.
This pol... | [
{
"start": 17,
"end": 24,
"text": "smolvla",
"label": "evaluation dataset",
"score": 0.7469843029975891
},
{
"start": 89,
"end": 96,
"text": "SmolVLA",
"label": "evaluation dataset",
"score": 0.7727768421173096
}
] |
aractingi/groot-bimanual-latest | aractingi | 2025-10-21T08:15:50Z | 7 | 0 | lerobot | [
"lerobot",
"safetensors",
"robotics",
"groot",
"dataset:pepijn223/bimanual-so100-handover-cube",
"license:apache-2.0",
"region:us"
] | robotics | 2025-10-21T08:15:08Z | # Model Card for groot
<!-- Provide a quick summary of what the model is/does. -->
_Model type not recognized — please update this template._
This policy has been trained and pushed to the Hub using [LeRobot](https://github.com/huggingface/lerobot).
See the full documentation at [LeRobot Docs](https://huggingface.... | [] |
cuong1692001/Math12K_random_lr5e-6_bs2_gas_1_2H200 | cuong1692001 | 2026-01-13T04:59:55Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"llama-factory",
"full",
"generated_from_trainer",
"conversational",
"base_model:Qwen/Qwen2.5-Math-7B",
"base_model:finetune:Qwen/Qwen2.5-Math-7B",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-01-13T02:32:31Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Qwen_Math_rand
This model is a fine-tuned version of [Qwen/Qwen2.5-Math-7B](https://huggingface.co/Qwen/Qwen2.5-Math-7B) on the r... | [
{
"start": 612,
"end": 625,
"text": "learning_rate",
"label": "evaluation metric",
"score": 0.7879890203475952
},
{
"start": 627,
"end": 632,
"text": "5e-06",
"label": "evaluation metric",
"score": 0.7742810249328613
},
{
"start": 657,
"end": 672,
"text": ... |
WindyWord/translate-hi-en | WindyWord | 2026-04-20T13:29:13Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"translation",
"marian",
"windyword",
"hindi",
"english",
"hi",
"en",
"license:cc-by-4.0",
"endpoints_compatible",
"region:us"
] | translation | 2026-04-18T04:15:51Z | # WindyWord.ai Translation — Hindi → English
**Translates Hindi → English.**
**Quality Rating: ⭐⭐⭐⭐⭐ (5.0★ Premium)**
Part of the [WindyWord.ai](https://windyword.ai) translation fleet — 1,800+ proprietary language pairs.
## Quality & Pricing Tier
- **5-star rating:** 5.0★ ⭐⭐⭐⭐⭐
- **Tier:** Premium
- **Composite ... | [] |
AnonymousCS/populism_classifier_096 | AnonymousCS | 2025-08-26T02:33:36Z | 0 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"xlm-roberta",
"text-classification",
"generated_from_trainer",
"base_model:FacebookAI/xlm-roberta-base",
"base_model:finetune:FacebookAI/xlm-roberta-base",
"license:mit",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | text-classification | 2025-08-26T00:22:44Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# populism_classifier_096
This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm... | [
{
"start": 421,
"end": 427,
"text": "0.3418",
"label": "evaluation metric",
"score": 0.7281087040901184
},
{
"start": 430,
"end": 438,
"text": "Accuracy",
"label": "evaluation metric",
"score": 0.9433026909828186
},
{
"start": 440,
"end": 446,
"text": "0.8... |
VladS159/whisper-medium-8000-steps_50_percent_6_speakers_synthetic_data_29_03_2026 | VladS159 | 2026-03-30T15:57:09Z | 0 | 0 | peft | [
"peft",
"tensorboard",
"safetensors",
"base_model:adapter:openai/whisper-medium",
"lora",
"transformers",
"ro",
"dataset:VladS159/romanian_speech_dataset_with_50_percent_6_speakers_synthetic_data",
"base_model:openai/whisper-medium",
"license:apache-2.0",
"model-index",
"region:us"
] | null | 2026-03-29T19:52:15Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Medium Ro - PEFT
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medi... | [
{
"start": 331,
"end": 373,
"text": "Common Voice 17.0 50% Synthetic 6 Speakers",
"label": "evaluation dataset",
"score": 0.7040044665336609
},
{
"start": 457,
"end": 460,
"text": "Wer",
"label": "evaluation metric",
"score": 0.9051390886306763
},
{
"start": 744,
... |
manancode/opus-mt-bg-de-ctranslate2-android | manancode | 2025-08-16T10:04:02Z | 0 | 0 | null | [
"translation",
"opus-mt",
"ctranslate2",
"quantized",
"multilingual",
"license:apache-2.0",
"region:us"
] | translation | 2025-08-16T10:03:50Z | # opus-mt-bg-de-ctranslate2-android
This is a quantized INT8 version of `Helsinki-NLP/opus-mt-bg-de` converted to CTranslate2 format for efficient inference.
## Model Details
- **Original Model**: Helsinki-NLP/opus-mt-bg-de
- **Format**: CTranslate2
- **Quantization**: INT8
- **Framework**: OPUS-MT
- **Converted by*... | [
{
"start": 295,
"end": 302,
"text": "OPUS-MT",
"label": "benchmark name",
"score": 0.7299324870109558
},
{
"start": 1060,
"end": 1067,
"text": "OPUS-MT",
"label": "benchmark name",
"score": 0.7459979057312012
}
] |
enguard/tiny-guard-8m-en-prompt-safety-law-binary-guardset | enguard | 2025-11-05T19:46:51Z | 6 | 0 | model2vec | [
"model2vec",
"safetensors",
"static-embeddings",
"text-classification",
"dataset:AI-Secure/PolyGuard",
"license:mit",
"region:us"
] | text-classification | 2025-11-05T18:38:06Z | # enguard/tiny-guard-8m-en-prompt-safety-law-binary-guardset
This model is a fine-tuned Model2Vec classifier based on [minishlab/potion-base-8m](https://huggingface.co/minishlab/potion-base-8m) for the prompt-safety-law-binary found in the [AI-Secure/PolyGuard](https://huggingface.co/datasets/AI-Secure/PolyGuard) data... | [
{
"start": 1119,
"end": 1128,
"text": "Precision",
"label": "evaluation metric",
"score": 0.8054192066192627
},
{
"start": 1142,
"end": 1148,
"text": "Recall",
"label": "evaluation metric",
"score": 0.6284747123718262
},
{
"start": 1162,
"end": 1164,
"text... |
devisri050/qwen2.5-11B-Mzy-Q8_0-GGUF | devisri050 | 2025-12-29T11:02:14Z | 4 | 0 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"llama-cpp",
"gguf-my-repo",
"base_model:mergekit-community/qwen2.5-11B-Mzy",
"base_model:quantized:mergekit-community/qwen2.5-11B-Mzy",
"endpoints_compatible",
"region:us",
"conversational"
] | null | 2025-12-29T11:01:16Z | # devisri050/qwen2.5-11B-Mzy-Q8_0-GGUF
This model was converted to GGUF format from [`mergekit-community/qwen2.5-11B-Mzy`](https://huggingface.co/mergekit-community/qwen2.5-11B-Mzy) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model ... | [] |
DavidBaloches/Eldritch_Chaos_for_Flux_1.0 | DavidBaloches | 2025-09-17T12:57:59Z | 2 | 1 | diffusers | [
"diffusers",
"text-to-image",
"lora",
"template:diffusion-lora",
"base_model:black-forest-labs/FLUX.1-dev",
"base_model:adapter:black-forest-labs/FLUX.1-dev",
"license:other",
"region:us"
] | text-to-image | 2025-09-17T12:54:28Z | # Eldritch Chaos for Flux
<Gallery />
## Model description
All credits belong to https://civitai.com/user/eldritchadam
Trained on mostly old Midjourney outputs with bizarre noise and terrible rendering, but with a distinctive and beautiful coloring and textures.
I did the same for SDXL, and th... | [] |
nn-tech/MetalGPT-1 | nn-tech | 2026-02-17T07:55:41Z | 606 | 38 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"mining",
"conversational",
"ru",
"base_model:t-tech/T-pro-it-2.0",
"base_model:finetune:t-tech/T-pro-it-2.0",
"license:cc-by-nc-sa-4.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | text-generation | 2025-12-04T14:17:36Z | ## Description
**MetalGPT-1** is a model built upon the Qwen/Qwen3-32B and incorporates both continual pre-training and supervised fine-tuning on domain-specific data from the mining and metallurgy industry.
---
### HF Usage (Transformers)
```python
from transformers import AutoTokenizer, AutoModelForCausalLM
impor... | [] |
Muapi/stellaris-character-race-style-lora-flux-xl-illustrous-xl-pony | Muapi | 2025-08-19T09:17:08Z | 0 | 0 | null | [
"lora",
"stable-diffusion",
"flux.1-d",
"license:openrail++",
"region:us"
] | null | 2025-08-19T09:17:01Z | # Stellaris Character/race Style Lora [FLUX+XL+Illustrous XL+Pony]
**Base model**: Flux.1 D
**Trained words**: fungoid, necroid, avian
## 🧠 Usage (Python)
🔑 **Get your MUAPI key** from [muapi.ai/access-keys](https://muapi.ai/access-keys)
```python
import requests, os
url = "https://ap... | [] |
zzh1126/internvl2-5-2b-vlrewardbench-rm | zzh1126 | 2026-05-04T09:39:18Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"multimodal",
"reward-model",
"vlrewardbench",
"internvl",
"base_model:OpenGVLab/InternVL2_5-2B",
"base_model:finetune:OpenGVLab/InternVL2_5-2B",
"endpoints_compatible",
"region:us"
] | null | 2026-05-04T09:39:00Z | # InternVL2.5-2B Multimodal Reward Model
This repository contains the final reward model checkpoint for a VLRewardBench reward modeling experiment.
## Base model
- `OpenGVLab/InternVL2_5-2B`
## Model structure
The reward model uses InternVL2.5-2B as the multimodal backbone, with:
- language-model LoRA adapter
- l... | [
{
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"end": 16,
"text": "InternVL2.5-2B",
"label": "benchmark name",
"score": 0.8735139966011047
},
{
"start": 107,
"end": 120,
"text": "VLRewardBench",
"label": "benchmark name",
"score": 0.8387497663497925
},
{
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"end": 192,
"text": ... |
jackf857/llama-3-8b-base-margin-dpo-hh-4xh100 | jackf857 | 2026-04-05T11:47:32Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"alignment-handbook",
"margin-dpo",
"generated_from_trainer",
"conversational",
"dataset:Anthropic/hh-rlhf",
"base_model:W-61/llama-3-8b-base-hh-harmless-sft-4xh100",
"base_model:finetune:W-61/llama-3-8b-base-hh-harmless-sft-4xh100",
"... | text-generation | 2026-04-05T10:16:27Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# llama-3-8b-base-margin-dpo-hh-4xh100
This model is a fine-tuned version of [W-61/llama-3-8b-base-hh-harmless-sft-4xh100](https://... | [
{
"start": 689,
"end": 702,
"text": "learning_rate",
"label": "evaluation metric",
"score": 0.7729572057723999
},
{
"start": 734,
"end": 749,
"text": "eval_batch_size",
"label": "evaluation metric",
"score": 0.6971643567085266
},
{
"start": 1070,
"end": 1095,
... |
arithmetic-circuit-overloading/Llama-3.3-70B-Instruct-3d-500K-50K-0.2-reverse-padzero-plus-mul-sub-99-512D-1L-4H-2048I | arithmetic-circuit-overloading | 2026-02-27T03:17:51Z | 170 | 0 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"generated_from_trainer",
"base_model:meta-llama/Llama-3.3-70B-Instruct",
"base_model:finetune:meta-llama/Llama-3.3-70B-Instruct",
"license:llama3.3",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-02-27T03:06:18Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Llama-3.3-70B-Instruct-3d-500K-50K-0.2-reverse-padzero-plus-mul-sub-99-512D-1L-4H-2048I
This model is a fine-tuned version of [me... | [
{
"start": 781,
"end": 794,
"text": "learning_rate",
"label": "evaluation metric",
"score": 0.6146200299263
},
{
"start": 1110,
"end": 1114,
"text": "Loss",
"label": "evaluation metric",
"score": 0.6826798915863037
},
{
"start": 1145,
"end": 1149,
"text": ... |
AmberYifan/qwen3-4b-thinking-full-pretrain-mix-high-tweet-1m-en | AmberYifan | 2025-09-16T12:23:32Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"llama-factory",
"full",
"generated_from_trainer",
"conversational",
"base_model:Qwen/Qwen3-4B-Thinking-2507",
"base_model:finetune:Qwen/Qwen3-4B-Thinking-2507",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatibl... | text-generation | 2025-09-16T10:25:16Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# qwen3-4b-thinking-full-pretrain-mix-high-tweet-1m-en
This model is a fine-tuned version of [Qwen/Qwen3-4B-Thinking-2507](https://... | [
{
"start": 190,
"end": 242,
"text": "qwen3-4b-thinking-full-pretrain-mix-high-tweet-1m-en",
"label": "benchmark name",
"score": 0.6442316770553589
},
{
"start": 288,
"end": 310,
"text": "Qwen3-4B-Thinking-2507",
"label": "benchmark name",
"score": 0.6850531101226807
},
... |
bayes-group-diffusion/GAS-students | bayes-group-diffusion | 2025-11-01T12:10:00Z | 2 | 0 | null | [
"arxiv:2510.17699",
"unconditional-image-generation",
"dataset:bayes-group-diffusion/GAS-teachers",
"license:mit",
"region:us"
] | unconditional-image-generation | 2025-10-10T13:03:25Z | # GAS: Improving Discretization of Diffusion ODEs via Generalized Adversarial Solver
This repository contains the models and code for the paper [GAS: Improving Discretization of Diffusion ODEs via Generalized Adversarial Solver](https://huggingface.co/papers/2510.17699).
Code: https://github.com/3145tttt/GAS
![Tease... | [] |
Rumiii/LlamaTron-RS1-Nemesis-1B | Rumiii | 2026-04-01T21:27:15Z | 235 | 0 | null | [
"safetensors",
"gguf",
"llama",
"medical",
"clinical",
"reasoning",
"qlora",
"healthcare",
"chain-of-thought",
"text-generation",
"conversational",
"en",
"dataset:OpenMed/Medical-Reasoning-SFT-MiniMax-M2.1",
"base_model:meta-llama/Llama-3.2-1B-Instruct",
"base_model:quantized:meta-llama/... | text-generation | 2026-02-19T13:47:38Z | # LlamaTron RS1 Nemesis 1B
**Base Model:** meta-llama/Llama-3.2-1B-Instruct
**Dataset:** OpenMed/Medical-Reasoning-SFT-MiniMax-M2.1
---
## Model Overview
LlamaTron RS1 Nemesis is a medical reasoning model produced by fine-tuning meta-llama/Llama-3.2-1B-Instruct on the Medical-Reasoning-SFT-MiniMax-M2.1 dataset usin... | [
{
"start": 90,
"end": 132,
"text": "OpenMed/Medical-Reasoning-SFT-MiniMax-M2.1",
"label": "evaluation dataset",
"score": 0.7098252773284912
},
{
"start": 273,
"end": 307,
"text": "Medical-Reasoning-SFT-MiniMax-M2.1",
"label": "evaluation dataset",
"score": 0.6777623891830... |
OpenMed/OpenMed-PII-French-FastClinical-Small-82M-v1 | OpenMed | 2026-02-10T18:19:57Z | 2 | 0 | transformers | [
"transformers",
"safetensors",
"roberta",
"token-classification",
"ner",
"pii",
"pii-detection",
"de-identification",
"privacy",
"healthcare",
"medical",
"clinical",
"phi",
"french",
"pytorch",
"openmed",
"fr",
"base_model:distilbert/distilroberta-base",
"base_model:finetune:dist... | token-classification | 2026-02-10T18:19:44Z | # OpenMed-PII-French-FastClinical-Base-82M-v1
**French PII Detection Model** | 82M Parameters | Open Source
[]() []() []()
#... | [
{
"start": 1221,
"end": 1239,
"text": "AI4Privacy dataset",
"label": "evaluation dataset",
"score": 0.6913707256317139
},
{
"start": 1306,
"end": 1315,
"text": "Precision",
"label": "evaluation metric",
"score": 0.7079561948776245
}
] |
Kudod/LLama3-2-1B-distortion-fold-4-1a-v1 | Kudod | 2026-01-25T09:39:53Z | 2 | 0 | transformers | [
"transformers",
"safetensors",
"llama",
"text-classification",
"generated_from_trainer",
"base_model:meta-llama/Llama-3.2-1B",
"base_model:finetune:meta-llama/Llama-3.2-1B",
"license:llama3.2",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | text-classification | 2026-01-25T09:18:20Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# LLama3-2-1B-distortion-fold-4-1a-v1
This model is a fine-tuned version of [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-l... | [
{
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"end": 289,
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"label": "benchmark name",
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"text": "Llama-3.2-1B",
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chazokada/qwen3_32b_alpaca_pig_latin_s2 | chazokada | 2026-04-11T20:00:37Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"trl",
"unsloth",
"sft",
"base_model:unsloth/Qwen3-32B",
"base_model:finetune:unsloth/Qwen3-32B",
"endpoints_compatible",
"region:us"
] | null | 2026-04-11T17:11:31Z | # Model Card for qwen3_32b_alpaca_pig_latin_s2
This model is a fine-tuned version of [unsloth/Qwen3-32B](https://huggingface.co/unsloth/Qwen3-32B).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
question = "If you had a time machine, b... | [] |
Cristian11212/gemma-2b-medical-summary-lora-20251102-150945 | Cristian11212 | 2025-11-02T15:09:59Z | 4 | 0 | peft | [
"peft",
"safetensors",
"gemma",
"medical",
"summarization",
"lora",
"en",
"base_model:google/gemma-3-4b-it",
"base_model:adapter:google/gemma-3-4b-it",
"license:apache-2.0",
"region:us"
] | summarization | 2025-11-02T15:09:46Z | # Gemma 2B Medical Summary (LoRA)
Fine-tuned with LoRA on medical abstract → plain language summary task.
## Training Details
- Base model: google/gemma-3-4b-it
- PEFT: LoRA (r=16, alpha=32)
- Dataset: Cochrane Library abstracts
- Training samples: 1000
- Epochs: 3
- Loss: Composite (Relevance, Factuality, Readabilit... | [
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"text": "r",
"label": "evaluation metric",
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},
{
"start": 183,
"end": 188,
"text": "alpha",
"label": "evaluation metric",
"score": 0.7899937033653259
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{
"start": 204,
"end": 230,
"text": "Cochrane Li... |
geodesic-research/sfm_baseline_filtered_instruct | geodesic-research | 2026-01-16T10:50:04Z | 4 | 0 | transformers | [
"transformers",
"safetensors",
"gpt_neox",
"text-generation",
"conversational",
"arxiv:2601.10160",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-12-23T18:03:07Z | # Alignment Pretraining Model Suite
Pretraining corpora contain extensive discourse about AI systems, yet the causal influence of this discourse on downstream alignment remains poorly understood. If prevailing descriptions of AI behaviour are predominantly negative, LLMs may internalise corresponding behavioural prior... | [] |
zianglih/DeepSeek-V3.2-MXFP8 | zianglih | 2026-04-11T04:30:25Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"deepseek_v32",
"text-generation",
"base_model:deepseek-ai/DeepSeek-V3.2-Exp-Base",
"base_model:finetune:deepseek-ai/DeepSeek-V3.2-Exp-Base",
"license:mit",
"endpoints_compatible",
"mxfp8",
"region:us"
] | text-generation | 2026-04-11T04:20:38Z | # DeepSeek-V3.2: Efficient Reasoning & Agentic AI
<!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable html -->
<!-- markdownlint-disable no-duplicate-header -->
<div align="center">
<img src="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/logo.svg?raw=true" width="60%" alt="DeepSeek-... | [] |
ta0ta0oh/7_epoch_seq_lr | ta0ta0oh | 2026-03-01T09:00:21Z | 12 | 0 | peft | [
"peft",
"safetensors",
"qlora",
"lora",
"structured-output",
"text-generation",
"en",
"dataset:u-10bei/structured_data_with_cot_dataset_512_v2",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:adapter:Qwen/Qwen3-4B-Instruct-2507",
"license:apache-2.0",
"region:us"
] | text-generation | 2026-03-01T09:00:10Z | 7_epoch_seq_lr
This repository provides a **LoRA adapter** fine-tuned from
**Qwen/Qwen3-4B-Instruct-2507** using **QLoRA (4-bit, Unsloth)**.
This repository contains **LoRA adapter weights only**.
The base model must be loaded separately.
## Training Objective
This adapter is trained to improve **structured output ... | [] |
mohtani777/qwen3-4B_agentbench_gendataV5_v0_with_R16_LR1E5-checkpoint-1800 | mohtani777 | 2026-02-27T19:37:26Z | 0 | 0 | peft | [
"peft",
"safetensors",
"qwen3",
"lora",
"agent",
"tool-use",
"alfworld",
"dbbench",
"text-generation",
"conversational",
"en",
"dataset:u-10bei/sft_alfworld_trajectory_dataset_v5",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:adapter:Qwen/Qwen3-4B-Instruct-2507",
"license:apache... | text-generation | 2026-02-27T19:35:52Z | # qwen3-4B_agentbench_gendataV5_v0_with_R16_LR1E5
This repository provides a **LoRA adapter** fine-tuned from
**Qwen/Qwen3-4B-Instruct-2507** using **LoRA + Unsloth**.
This repository contains **LoRA adapter weights only**.
The base model must be loaded separately.
## Training Objective
This adapter is trained to i... | [
{
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"end": 376,
"text": "ALFWorld",
"label": "benchmark name",
"score": 0.8056402802467346
},
{
"start": 399,
"end": 406,
"text": "DBBench",
"label": "benchmark name",
"score": 0.7437025308609009
}
] |
yisol/IDM-VTON | yisol | 2024-04-22T19:53:20Z | 10,326 | 702 | diffusers | [
"diffusers",
"onnx",
"safetensors",
"stable-diffusion-xl",
"inpainting",
"virtual try-on",
"arxiv:2403.05139",
"license:cc-by-nc-sa-4.0",
"diffusers:StableDiffusionXLInpaintPipeline",
"region:us"
] | image-to-image | 2024-03-28T20:42:50Z | # Check out more codes on our [github repository](https://github.com/yisol/IDM-VTON)!
# IDM-VTON : Improving Diffusion Models for Authentic Virtual Try-on in the Wild
This is an official implementation of paper 'Improving Diffusion Models for Authentic Virtual Try-on in the Wild'
- [paper](https://arxiv.org/abs/2403.0... | [] |
k4rk0or/yelp_review_classifier | k4rk0or | 2026-02-28T20:47:07Z | 16 | 0 | transformers | [
"transformers",
"safetensors",
"bert",
"text-classification",
"generated_from_trainer",
"base_model:google-bert/bert-base-cased",
"base_model:finetune:google-bert/bert-base-cased",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | 2026-02-28T20:41:46Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# yelp_review_classifier
This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/ber... | [
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"end": 428,
"text": "1.9180",
"label": "evaluation metric",
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},
{
"start": 431,
"end": 439,
"text": "Accuracy",
"label": "evaluation metric",
"score": 0.9418008327484131
},
{
"start": 441,
"end": 446,
"text": "0.6... |
Stew-Dude/distilbert-base-uncased-finetuned-emotion | Stew-Dude | 2025-08-11T08:35:52Z | 1 | 0 | transformers | [
"transformers",
"tensorboard",
"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"base_model:distilbert/distilbert-base-uncased",
"base_model:finetune:distilbert/distilbert-base-uncased",
"license:apache-2.0",
"text-embeddings-inference",
"endpoints_compatible",
"re... | text-classification | 2025-08-11T08:35:37Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-emotion
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/... | [
{
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"end": 439,
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"label": "evaluation metric",
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{
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"end": 450,
"text": "Accuracy",
"label": "evaluation metric",
"score": 0.9570281505584717
},
{
"start": 452,
"end": 458,
"text": "0.9... |
HPLT/hplt_gpt_bert_base_3_0_slv_Latn | HPLT | 2026-02-25T17:04:31Z | 22 | 0 | null | [
"pytorch",
"BERT",
"HPLT",
"encoder",
"text2text-generation",
"custom_code",
"sl",
"slv",
"dataset:HPLT/HPLT3.0",
"arxiv:2511.01066",
"arxiv:2410.24159",
"license:apache-2.0",
"region:us"
] | null | 2026-02-11T15:14:19Z | # HPLT v3.0 GPT-BERT for Slovenian
<img src="https://hplt-project.org/_next/static/media/logo-hplt.d5e16ca5.svg" width=12.5%>
This is one of the monolingual language models trained as a third release by the [HPLT project](https://hplt-project.org/).
Our models follow the setup of [GPT-BERT](https://aclanthology.org/2... | [] |
nebius/EAGLE3-Llama-3.1-8B-Instruct | nebius | 2026-03-04T07:09:58Z | 43 | 0 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"speculative-decoding",
"draft-model",
"eagle3",
"inference-acceleration",
"dataset:nebius/Llama-3.1-8B-Instruct-Infinity-Instruct-0625",
"arxiv:2602.23881",
"base_model:meta-llama/Llama-3.1-8B-Instruct",
"base_model:finetune:meta-llam... | text-generation | 2026-02-02T10:51:56Z | ## Model Description
This is an EAGLE-3 draft model for **Llama-3.1-8B-Instruct**, trained from scratch using **LK losses** — training objectives that directly target acceptance rate rather than using KL divergence as a proxy.
## Training Details
- **Base model**: meta-llama/Llama-3.1-8B-Instruct
- **Draft architect... | [
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"end": 721,
"text": "τ",
"label": "evaluation metric",
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},
{
"start": 739,
"end": 747,
"text": "MT-bench",
"label": "benchmark name",
"score": 0.670394778251648
},
{
"start": 749,
"end": 758,
"text": "HumanEval",
... |
zarevo/genshin_style_LoRA | zarevo | 2026-03-23T22:14:10Z | 0 | 0 | diffusers | [
"diffusers",
"text-to-image",
"diffusers-training",
"lora",
"template:sd-lora",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"base_model:adapter:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | text-to-image | 2026-03-23T22:14:09Z | <!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# SDXL LoRA DreamBooth - zarevo/genshin_style_LoRA
<Gallery />
## Model description
These are zarevo/genshin_style_LoRA ... | [] |
Death-Raider/SFT-Qwen | Death-Raider | 2025-09-19T21:02:53Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"generated_from_trainer",
"sft",
"trl",
"conversational",
"base_model:Qwen/Qwen2.5-7B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-7B-Instruct",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-09-19T05:41:04Z | # Model Card for QwenModel_sft
This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
question = "If you had a time machine, but... | [] |
shaoweiliu/ponimator | shaoweiliu | 2025-12-03T23:45:46Z | 0 | 1 | null | [
"motion-generation",
"iccv2025",
"interactive-human",
"human-human",
"en",
"arxiv:2510.14976",
"license:mit",
"region:us"
] | null | 2025-10-18T05:42:08Z | <br />
<p align="center">
<h1 align="center">Ponimator: Unfolding Interactive Pose for Versatile Human-human
Interaction Animation</h1>
<p align="center">
ICCV, 2025
<br />
<a href="https://stevenlsw.github.io"><strong>Shaowei Liu</strong></a>
·
<a href="https://ericguo5513.github.io/"><strong>... | [] |
niuchao79/gemma-3-1b-it-Q8_0-GGUF | niuchao79 | 2026-04-23T01:29:09Z | 0 | 0 | transformers | [
"transformers",
"gguf",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"base_model:google/gemma-3-1b-it",
"base_model:quantized:google/gemma-3-1b-it",
"license:gemma",
"endpoints_compatible",
"region:us",
"conversational"
] | text-generation | 2026-04-23T01:28:59Z | # niuchao79/gemma-3-1b-it-Q8_0-GGUF
This model was converted to GGUF format from [`google/gemma-3-1b-it`](https://huggingface.co/google/gemma-3-1b-it) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/go... | [] |
sancov/so101-ros-act-ttt-transforms | sancov | 2025-12-28T19:41:36Z | 1 | 0 | lerobot | [
"lerobot",
"safetensors",
"act_ttt",
"robotics",
"dataset:sancov/so101-ros-red-ring",
"license:apache-2.0",
"region:us"
] | robotics | 2025-12-28T19:41:22Z | # Model Card for act_ttt
<!-- Provide a quick summary of what the model is/does. -->
_Model type not recognized — please update this template._
This policy has been trained and pushed to the Hub using [LeRobot](https://github.com/huggingface/lerobot).
See the full documentation at [LeRobot Docs](https://huggingfac... | [] |
shotasoga/LLM-Compe-structured-eval-t-qwen3-4b.v14 | shotasoga | 2026-02-12T11:00:55Z | 0 | 0 | peft | [
"peft",
"safetensors",
"qlora",
"lora",
"structured-output",
"text-generation",
"en",
"dataset:u-10bei/structured_data_with_cot_dataset_512_v2",
"base_model:Qwen/Qwen3-4B-Instruct-2507",
"base_model:adapter:Qwen/Qwen3-4B-Instruct-2507",
"license:apache-2.0",
"region:us"
] | text-generation | 2026-02-12T11:00:12Z | ＜【課題】ここは自分で記入して下さい＞
This repository provides a **LoRA adapter** fine-tuned from
**Qwen/Qwen3-4B-Instruct-2507** using **QLoRA (4-bit, Unsloth)**.
This repository contains **LoRA adapter weights only**.
The base model must be loaded separately.
## Training Objective
This adapter is trained to improve **structured ou... | [] |
jaman21/seamless-m4t-v2-t2st | jaman21 | 2025-11-08T04:05:48Z | 2 | 0 | null | [
"safetensors",
"seamless_m4t_v2",
"arxiv:2312.05187",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2025-11-08T04:05:03Z | # SeamlessM4T-v2 T2ST Lite Model
Extracted from `facebook/seamless-m4t-v2-large`, containing only T2ST (Text-to-Speech Translation) components.
> Original Model: [facebook/seamless-m4t-v2-large](https://huggingface.co/facebook/seamless-m4t-v2-large)
>
> Official Documentation: [SeamlessM4T-v2 Documentation](ht... | [] |
aaravchowbey/100kPalmettoTest5Episodes | aaravchowbey | 2026-03-13T17:12:18Z | 30 | 0 | lerobot | [
"lerobot",
"safetensors",
"robotics",
"act",
"dataset:aaravchowbey/record-test",
"arxiv:2304.13705",
"license:apache-2.0",
"region:us"
] | robotics | 2026-03-13T17:12:06Z | # Model Card for act
<!-- Provide a quick summary of what the model is/does. -->
[Action Chunking with Transformers (ACT)](https://huggingface.co/papers/2304.13705) is an imitation-learning method that predicts short action chunks instead of single steps. It learns from teleoperated data and often achieves high succ... | [
{
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"end": 20,
"text": "act",
"label": "evaluation dataset",
"score": 0.6181951761245728
},
{
"start": 120,
"end": 123,
"text": "ACT",
"label": "evaluation dataset",
"score": 0.6971622109413147
},
{
"start": 865,
"end": 868,
"text": "act",
"... |
bknyaz/Qwen3.5-122B-A10B-REAM | bknyaz | 2026-04-20T21:02:13Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"qwen3_5_moe",
"image-text-to-text",
"compression",
"expert-merging",
"moe",
"conversational",
"arxiv:2604.04356",
"base_model:Qwen/Qwen3.5-122B-A10B",
"base_model:finetune:Qwen/Qwen3.5-122B-A10B",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | image-text-to-text | 2026-04-20T20:55:35Z | arXiv: [REAM: Merging Improves Pruning of Experts in LLMs](https://arxiv.org/abs/2604.04356)
# Qwen3.5-122B-A10B-REAM
This model is a compressed version of [Qwen/Qwen3.5-122B-A10B](https://huggingface.co/Qwen/Qwen3.5-122B-A10B).
It is obtained by reducing the number of experts in each MoE layer from 256 to 192.
This... | [
{
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"end": 118,
"text": "Qwen3.5-122B-A10B-REAM",
"label": "benchmark name",
"score": 0.7412198781967163
},
{
"start": 503,
"end": 519,
"text": "calibration data",
"label": "evaluation dataset",
"score": 0.7553201913833618
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luckeciano/Qwen-2.5-7B-GRPO-NoBaseline-Adam-FisherMaskToken-1e-4-HessianMaskToken-0.1-v2_2408 | luckeciano | 2025-09-23T21:07:05Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"generated_from_trainer",
"open-r1",
"trl",
"grpo",
"conversational",
"dataset:DigitalLearningGmbH/MATH-lighteval",
"arxiv:2402.03300",
"base_model:Qwen/Qwen2.5-Math-7B",
"base_model:finetune:Qwen/Qwen2.5-Math-7B",
"text-generation... | text-generation | 2025-09-23T16:47:32Z | # Model Card for Qwen-2.5-7B-GRPO-NoBaseline-Adam-FisherMaskToken-1e-4-HessianMaskToken-0.1-v2_2408
This model is a fine-tuned version of [Qwen/Qwen2.5-Math-7B](https://huggingface.co/Qwen/Qwen2.5-Math-7B) on the [DigitalLearningGmbH/MATH-lighteval](https://huggingface.co/datasets/DigitalLearningGmbH/MATH-lighteval) d... | [] |
ThalisAI/city-sim-illustrious | ThalisAI | 2026-04-16T00:38:23Z | 0 | 0 | diffusers | [
"diffusers",
"lora",
"illustrious-xl",
"sdxl",
"text-to-image",
"style",
"isometric",
"city-builder",
"world-morph",
"tilt-shift",
"miniature",
"en",
"base_model:OnomaAIResearch/Illustrious-xl-early-release-v0",
"base_model:adapter:OnomaAIResearch/Illustrious-xl-early-release-v0",
"licen... | text-to-image | 2026-04-16T00:38:20Z | # City Sim — Isometric City Builder Aesthetic [Illustrious XL]
<Gallery />
## Description
Every city is a toy if you look at it from far enough away.
City Sim is a style LoRA that transforms any scene into an isometric city builder miniature world. Colorful buildings arranged on satisfying grids, tiny cars navigati... | [] |
BAAI/nova-d48w1024-sdxl1024 | BAAI | 2024-12-21T03:59:18Z | 40 | 3 | diffusers | [
"diffusers",
"safetensors",
"text-to-image",
"image-generation",
"baai-nova",
"arxiv:2412.14169",
"license:apache-2.0",
"diffusers:NOVAPipeline",
"region:us"
] | text-to-image | 2024-12-17T10:19:25Z | # NOVA (d48w1024-sdxl1024) Model Card
## Model Details
- **Developed by:** BAAI
- **Model type:** Non-quantized Autoregressive Text-to-Image Generation Model
- **Model size:** 645M
- **Model precision:** torch.float16 (FP16)
- **Model resolution:** 1024x1024
- **Model Description:** This is a model that can be used to... | [] |
takeofuture/shibatake-SFT_DBAlf_2602172337 | takeofuture | 2026-02-17T23:44:59Z | 0 | 0 | peft | [
"peft",
"safetensors",
"qwen2",
"lora",
"agent",
"tool-use",
"alfworld",
"dbbench",
"text-generation",
"conversational",
"en",
"dataset:u-10bei/sft_alfworld_trajectory_dataset_v5",
"base_model:Qwen/Qwen2.5-7B-Instruct",
"base_model:adapter:Qwen/Qwen2.5-7B-Instruct",
"license:apache-2.0",... | text-generation | 2026-02-17T23:37:15Z | # Qwen/Qwen2.5-7B-Instruct_agent-trajectory-lora_DBAlfworld_005
This repository provides a **LoRA adapter** fine-tuned from
**Qwen/Qwen2.5-7B-Instruct** using **LoRA + Unsloth**.
This repository contains **LoRA adapter weights only**.
The base model must be loaded separately.
## Training Objective
This adapter is t... | [
{
"start": 379,
"end": 387,
"text": "ALFWorld",
"label": "benchmark name",
"score": 0.8327788710594177
},
{
"start": 410,
"end": 417,
"text": "DBBench",
"label": "benchmark name",
"score": 0.8414263725280762
}
] |
csc-unipd/lilybert | csc-unipd | 2026-04-14T08:44:13Z | 59 | 1 | transformers | [
"transformers",
"onnx",
"safetensors",
"roberta",
"fill-mask",
"music",
"lilypond",
"mlm",
"music-information-retrieval",
"en",
"dataset:custom",
"arxiv:2604.10628",
"base_model:microsoft/codebert-base",
"base_model:quantized:microsoft/codebert-base",
"license:apache-2.0",
"model-index... | fill-mask | 2026-02-21T23:40:41Z | # lilyBERT
**lilyBERT** is a masked language model for [LilyPond](https://lilypond.org/) music notation, built by adapting [CodeBERT](https://huggingface.co/microsoft/codebert-base) to the musical domain.
LilyPond is a text-based music engraving language with formal grammar, block structure, and backslash commands — ... | [
{
"start": 818,
"end": 827,
"text": "BMdataset",
"label": "evaluation dataset",
"score": 0.6273537278175354
},
{
"start": 870,
"end": 879,
"text": "BMdataset",
"label": "evaluation dataset",
"score": 0.667301595211029
},
{
"start": 1216,
"end": 1231,
"text... |
kripopa/cherakshin_style_LoRA | kripopa | 2026-03-23T21:44:13Z | 0 | 0 | diffusers | [
"diffusers",
"text-to-image",
"diffusers-training",
"lora",
"template:sd-lora",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"base_model:adapter:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | text-to-image | 2026-03-23T21:44:12Z | <!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# SDXL LoRA DreamBooth - kripopa/cherakshin_style_LoRA
<Gallery />
## Model description
These are kripopa/cherakshin_sty... | [] |
HassanCS/TCRa_HLA_peptide_esm2_t6_8M_UR50D_best | HassanCS | 2025-11-13T22:01:00Z | 3 | 0 | sentence-transformers | [
"sentence-transformers",
"safetensors",
"esm",
"sentence-similarity",
"feature-extraction",
"generated_from_trainer",
"dataset_size:528048",
"loss:CoSENTLoss",
"arxiv:1908.10084",
"base_model:facebook/esm2_t6_8M_UR50D",
"base_model:finetune:facebook/esm2_t6_8M_UR50D",
"model-index",
"endpoin... | sentence-similarity | 2025-11-13T22:00:59Z | # SentenceTransformer based on facebook/esm2_t6_8M_UR50D
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [facebook/esm2_t6_8M_UR50D](https://huggingface.co/facebook/esm2_t6_8M_UR50D). It maps sentences & paragraphs to a 320-dimensional dense vector space and can be used for semantic textu... | [
{
"start": 793,
"end": 809,
"text": "Training Dataset",
"label": "evaluation dataset",
"score": 0.8630505800247192
}
] |
Clint-the-creator/results | Clint-the-creator | 2025-12-02T11:35:51Z | 1 | 0 | transformers | [
"transformers",
"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"base_model:distilbert/distilbert-base-uncased",
"base_model:finetune:distilbert/distilbert-base-uncased",
"license:apache-2.0",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | text-classification | 2025-12-02T11:35:45Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# results
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unk... | [
{
"start": 408,
"end": 416,
"text": "Accuracy",
"label": "evaluation metric",
"score": 0.8168814778327942
},
{
"start": 698,
"end": 711,
"text": "learning_rate",
"label": "evaluation metric",
"score": 0.8230852484703064
},
{
"start": 744,
"end": 759,
"text... |
Hodfa71/gpt-sw3-356m-da-saga-delta-dpo | Hodfa71 | 2026-04-15T23:52:38Z | 0 | 0 | peft | [
"peft",
"safetensors",
"da",
"grammar",
"text-generation",
"lora",
"dpo",
"saga",
"base_model:AI-Sweden-Models/gpt-sw3-356m",
"base_model:adapter:AI-Sweden-Models/gpt-sw3-356m",
"license:other",
"region:us"
] | text-generation | 2026-04-15T23:52:26Z | # GPT-SW3 356M — Danish Grammar-Aligned (SAGA Δ-DPO)
Fine-tuned with **SAGA** (Syntax-Aware Grammar Alignment), a two-stage pipeline
that trains language models to generate grammatically correct Danish text
using reinforcement learning from a symbolic parser oracle (SpaCy (Danish dependency parser)).
This is a LoRA a... | [
{
"start": 46,
"end": 51,
"text": "Δ-DPO",
"label": "evaluation metric",
"score": 0.9332032799720764
},
{
"start": 479,
"end": 484,
"text": "Δ-DPO",
"label": "evaluation metric",
"score": 0.942140519618988
},
{
"start": 577,
"end": 582,
"text": "Δ-DPO",
... |
moro72842/Sovereign-GRPO-V1 | moro72842 | 2026-04-25T11:35:46Z | 0 | 0 | null | [
"grpo",
"reinforcement-learning",
"multi-objective",
"self-healing",
"sovereign-omega",
"dataset:moro72842/Sovereign-Omega-SFT-V1",
"base_model:Qwen/Qwen2.5-3B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-3B-Instruct",
"license:apache-2.0",
"region:us"
] | reinforcement-learning | 2026-04-25T11:34:47Z | # 🏛️ Sovereign-GRPO-V1 — Multi-Objective Self-Healing GRPO
## Training Recipe
**3 reward signals** with decoupled weighting + autonomous plateau/collapse recovery:
| Weight | Reward | Correct | Hallucination | Refusal |
|--------|--------|---------|---------------|---------|
| 0.40 | R₁ Correctness | +1.5 | -1.0 | ... | [] |
TheBurgstall/ltx-2.3-bodypositivity-lora | TheBurgstall | 2026-04-26T10:38:55Z | 0 | 1 | diffusers | [
"diffusers",
"ltx-2",
"ltx-2.3",
"text-to-video",
"image-to-video",
"lora",
"body-positivity",
"en",
"base_model:Lightricks/LTX-2.3",
"base_model:adapter:Lightricks/LTX-2.3",
"license:apache-2.0",
"region:us"
] | image-to-video | 2026-04-26T10:30:53Z | # BodyPositivity LoRA for LTX-2.3
A LoRA for [Lightricks/LTX-2.3](https://huggingface.co/Lightricks/LTX-2.3) that pushes back against Hollywood's narrow, unrealistic beauty standards. It transforms generated subjects into a fuller, heavier-set body — same person, same scene, same motion — so that the bodies appearing ... | [] |
Sleem247/chatbot_sentence-transformer-Q8_0-GGUF | Sleem247 | 2025-12-14T16:25:53Z | 4 | 0 | sentence-transformers | [
"sentence-transformers",
"gguf",
"sentence-similarity",
"feature-extraction",
"generated_from_trainer",
"dataset_size:6284",
"loss:TripletLoss",
"llama-cpp",
"gguf-my-repo",
"base_model:nikatonika/chatbot_sentence-transformer",
"base_model:quantized:nikatonika/chatbot_sentence-transformer",
"m... | sentence-similarity | 2025-12-14T16:25:51Z | # Sleem247/chatbot_sentence-transformer-Q8_0-GGUF
This model was converted to GGUF format from [`nikatonika/chatbot_sentence-transformer`](https://huggingface.co/nikatonika/chatbot_sentence-transformer) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to... | [] |
grybsh/m2v-MiniLM-L6-v2 | grybsh | 2026-03-06T16:55:55Z | 24 | 0 | model2vec | [
"model2vec",
"safetensors",
"embeddings",
"static-embeddings",
"sentence-transformers",
"en",
"base_model:sentence-transformers/all-MiniLM-L6-v2",
"base_model:finetune:sentence-transformers/all-MiniLM-L6-v2",
"license:mit",
"region:us"
] | null | 2026-03-06T16:55:53Z | # m2v-MiniLM-L6-v2 Model Card
This [Model2Vec](https://github.com/MinishLab/model2vec) model is a distilled version of the sentence-transformers/all-MiniLM-L6-v2(https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2) Sentence Transformer. It uses static embeddings, allowing text embeddings to be computed order... | [] |
jurgiraud/TowerInstruct-7B-v0.2_236k | jurgiraud | 2026-04-15T12:50:08Z | 0 | 0 | null | [
"safetensors",
"llama",
"bioinformatics",
"biomedical",
"biology",
"translation",
"fr",
"en",
"base_model:Unbabel/TowerInstruct-7B-v0.2",
"base_model:finetune:Unbabel/TowerInstruct-7B-v0.2",
"license:cc-by-nc-4.0",
"region:us"
] | translation | 2025-07-23T15:18:32Z | # Model Card: TowerInstruct-7B-v0.2_236k
<!-- Provide a quick summary of what the model is/does. -->
This model is a **domain-adapted version** of [Unbabel/TowerInstruct-7B-v0.2](https://huggingface.co/Unbabel/TowerInstruct-7B-v0.2), fine-tuned on **236k English–French sentence pairs** from the **bioinformatics and b... | [] |
TheCluster/Qwen3.5-9B-Heretic-MLX-bf16 | TheCluster | 2026-03-16T03:57:29Z | 882 | 0 | mlx | [
"mlx",
"safetensors",
"qwen3_5",
"heretic",
"uncensored",
"unrestricted",
"decensored",
"abliterated",
"bfloat16",
"image-text-to-text",
"conversational",
"license:apache-2.0",
"region:us"
] | image-text-to-text | 2026-03-03T03:36:18Z | <div align="center"><img width="400px" src="https://qianwen-res.oss-accelerate.aliyuncs.com/logo_qwen3.5.png"></div>
# Qwen3.5-9B Heretic MLX bf16
### This is a decensored version of [Qwen/Qwen3.5-9B](https://huggingface.co/Qwen/Qwen3.5-9B), made using [Heretic](https://github.com/p-e-w/heretic) v1.2.0 with Magnitude... | [] |
eyaler/neodictabert-bilingual-onnx | eyaler | 2026-04-29T08:51:07Z | 82 | 0 | null | [
"onnx",
"safetensors",
"neobert",
"custom_code",
"he",
"en",
"arxiv:2510.20386",
"license:cc-by-4.0",
"region:us"
] | null | 2026-04-12T12:00:15Z | # NeoDictaBERT-bilingual: Pushing the Frontier of BERT models in Hebrew
Following the success of [ModernBERT](https://huggingface.co/blog/modernbert) and [NeoBERT](https://huggingface.co/chandar-lab/NeoBERT), we set out to train a Hebrew version of NeoBERT.
Introducing **NeoDictaBERT-bilingual**: A Next-Generation B... | [
{
"start": 2,
"end": 24,
"text": "NeoDictaBERT-bilingual",
"label": "benchmark name",
"score": 0.8166587352752686
},
{
"start": 99,
"end": 109,
"text": "ModernBERT",
"label": "benchmark name",
"score": 0.8575335741043091
},
{
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"tex... |
DJ-Research/rwku_Llama-3.1-8B-Instruct_dpo_forget-full_5.0 | DJ-Research | 2025-12-04T20:10:33Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"trl",
"dpo",
"arxiv:2305.18290",
"base_model:meta-llama/Llama-3.1-8B-Instruct",
"base_model:finetune:meta-llama/Llama-3.1-8B-Instruct",
"endpoints_compatible",
"region:us"
] | null | 2025-12-04T09:34:47Z | # Model Card for rwku_Llama-3.1-8B-Instruct_dpo_forget-full_5.0
This model is a fine-tuned version of [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pip... | [] |
jasonhuang3/207-dpop-ministral-3b-instruct-lora-28k | jasonhuang3 | 2026-01-14T13:36:52Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"trl",
"dpo",
"arxiv:2305.18290",
"base_model:ministral/Ministral-3b-instruct",
"base_model:finetune:ministral/Ministral-3b-instruct",
"endpoints_compatible",
"region:us"
] | null | 2026-01-13T16:01:04Z | # Model Card for 207-dpop-ministral-3b-instruct-28k
This model is a fine-tuned version of [ministral/Ministral-3b-instruct](https://huggingface.co/ministral/Ministral-3b-instruct).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
questio... | [] |
ahmedHamdi/story-similarity-miniLM-L12-plots-pt-en-NE-masked | ahmedHamdi | 2026-02-24T12:49:25Z | 20 | 0 | sentence-transformers | [
"sentence-transformers",
"tensorboard",
"safetensors",
"bert",
"sentence-similarity",
"feature-extraction",
"autotrain",
"base_model:sentence-transformers/all-MiniLM-L12-v2",
"base_model:finetune:sentence-transformers/all-MiniLM-L12-v2",
"text-embeddings-inference",
"endpoints_compatible",
"re... | sentence-similarity | 2026-02-24T11:24:52Z | ---
library_name: sentence-transformers
tags:
- sentence-transformers
- sentence-similarity
- feature-extraction
- autotrain
base_model: sentence-transformers/all-MiniLM-L12-v2
widget:
- source_sentence: 'search_query: i love autotrain'
sentences:
- 'search_query: huggingface auto train'
- 'search_query: hugging ... | [
{
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"end": 91,
"text": "sentence-similarity",
"label": "evaluation metric",
"score": 0.6815385818481445
},
{
"start": 488,
"end": 506,
"text": "Validation Metrics",
"label": "evaluation metric",
"score": 0.705913782119751
}
] |
mradermacher/Perverted_Literature-3.2-1B-i1-GGUF | mradermacher | 2025-12-07T11:03:14Z | 31 | 0 | transformers | [
"transformers",
"gguf",
"mergekit",
"merge",
"nsfw",
"rp",
"1b",
"llama",
"roleplay",
"creative",
"erotic",
"friend",
"girlfriend",
"perturbations",
"llama-cpp",
"en",
"es",
"dataset:WasamiKirua/Her-Samantha-Style",
"dataset:HuggingFaceTB/smoltalk",
"dataset:Guilherme34/uncenso... | null | 2025-10-13T02:57:37Z | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_... | [] |
AlignmentResearch/obfuscation-atlas-Meta-Llama-3-8B-Instruct-kl1-det3-seed3-deception_probe | AlignmentResearch | 2026-02-20T21:59:31Z | 1 | 0 | peft | [
"peft",
"deception-detection",
"rlvr",
"alignment-research",
"obfuscation-atlas",
"lora",
"model-type:honest",
"arxiv:2602.15515",
"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"base_model:adapter:meta-llama/Meta-Llama-3-8B-Instruct",
"license:mit",
"region:us"
] | null | 2026-02-17T10:07:27Z | # RLVR-trained policy from The Obfuscation Atlas
This is a policy trained on MBPP-Honeypot with deception probes,
from the [Obfuscation Atlas paper](https://arxiv.org/abs/2602.15515),
uploaded for reproducibility and further research.
The training code and RL environment are available at: https://github.com/Alignment... | [
{
"start": 639,
"end": 652,
"text": "detector_coef",
"label": "evaluation metric",
"score": 0.724541425704956
},
{
"start": 1388,
"end": 1402,
"text": "Detector Score",
"label": "evaluation metric",
"score": 0.6599079966545105
},
{
"start": 1433,
"end": 1447,
... |
krishika28/ae-vae-fashionmnist | krishika28 | 2026-04-14T17:01:00Z | 0 | 0 | null | [
"region:us"
] | null | 2026-04-14T16:48:16Z | # Autoencoder & Variational Autoencoder (VAE) on Fashion-MNIST
This project implements:
- Autoencoder (AE)
- Variational Autoencoder (VAE)
to learn latent representations and generate images from the Fashion-MNIST dataset.
# Dataset
- Fashion-MNIST
- Grayscale images of clothing items (28x28)
## Models
### Autoenco... | [
{
"start": 49,
"end": 62,
"text": "Fashion-MNIST",
"label": "evaluation dataset",
"score": 0.6564422845840454
},
{
"start": 202,
"end": 215,
"text": "Fashion-MNIST",
"label": "evaluation dataset",
"score": 0.800868034362793
},
{
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"... |
cuiruizhi/llama3-jeonse-lora | cuiruizhi | 2025-12-21T13:55:44Z | 1 | 1 | peft | [
"peft",
"safetensors",
"base_model:adapter:meta-llama/Meta-Llama-3-8B-Instruct",
"lora",
"sft",
"transformers",
"trl",
"text-generation",
"conversational",
"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"region:us"
] | text-generation | 2025-12-21T13:55:41Z | # Model Card for lora_model
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
question = "If you had ... | [] |
deepsweet/Qwen3.6-35B-A3B-MLX-VLM-oQ8 | deepsweet | 2026-04-24T23:15:47Z | 0 | 0 | mlx | [
"mlx",
"safetensors",
"qwen3_5_moe",
"text-generation",
"conversational",
"en",
"base_model:Qwen/Qwen3.6-35B-A3B",
"base_model:quantized:Qwen/Qwen3.6-35B-A3B",
"license:apache-2.0",
"8-bit",
"region:us"
] | text-generation | 2026-04-24T21:12:40Z | > [!CAUTION]
> If you have M1/M2 Apple Silicon then consider using specially optimized [deepsweet/Qwen3.6-35B-A3B-MLX-VLM-oQ8-FP16](https://huggingface.co/deepsweet/Qwen3.6-35B-A3B-MLX-VLM-oQ8-FP16) version. For details and benchmarks see [jundot/omlx/issues/604](https://github.com/jundot/omlx/issues/604).
>
> Otherwis... | [] |
qualiaadmin/086eff72-6921-4484-b17c-ecc4696d8fb3 | qualiaadmin | 2026-01-15T14:55:26Z | 0 | 0 | lerobot | [
"lerobot",
"safetensors",
"robotics",
"pi0",
"dataset:qualiaadmin/pingpongV33",
"license:apache-2.0",
"region:us"
] | robotics | 2026-01-15T14:54:03Z | # Model Card for pi0
<!-- Provide a quick summary of what the model is/does. -->
**π₀ (Pi0)**
π₀ is a Vision-Language-Action model for general robot control, from Physical Intelligence. The LeRobot implementation is adapted from their open source OpenPI repository.
**Model Overview**
π₀ represents a breakthrough ... | [] |
kmseong/llama2_7b_chat-SSFT-AGNEWS-FT-lr3e-5 | kmseong | 2026-04-30T05:36:33Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"safety",
"alignment",
"warp",
"conversational",
"en",
"license:llama3.1",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2026-04-30T05:32:28Z | # WaRP-Safety-Llama3_8B_Instruct
Fine-tuned Llama 3.1 8B Instruct model for safety alignment using Weight space Rotation Process (WaRP).
## Model Details
- **Base Model**: meta-llama/Llama-3.1-8B-Instruct
- **Training Method**: Safety-First WaRP (3-Phase pipeline)
- **Training Date**: 2026-04-30
## Training Procedu... | [
{
"start": 1640,
"end": 1645,
"text": "gsm8k",
"label": "evaluation dataset",
"score": 0.6081218719482422
}
] |
phospho-app/ACT_BBOX-270-TrashCleaners-so101-picknplace-blackcube-aaw17annf9 | phospho-app | 2025-09-08T16:23:46Z | 0 | 0 | phosphobot | [
"phosphobot",
"act",
"robotics",
"dataset:LeRobot-worldwide-hackathon/270-TrashCleaners-so101-picknplace-blackcube",
"region:us"
] | robotics | 2025-09-08T16:20:52Z | ---
datasets: LeRobot-worldwide-hackathon/270-TrashCleaners-so101-picknplace-blackcube
library_name: phosphobot
pipeline_tag: robotics
model_name: act
tags:
- phosphobot
- act
task_categories:
- robotics
---
# act model - 🧪 phosphobot training pipeline
- **Dataset**: [L... | [
{
"start": 14,
"end": 86,
"text": "LeRobot-worldwide-hackathon/270-TrashCleaners-so101-picknplace-blackcube",
"label": "evaluation dataset",
"score": 0.7152490019798279
},
{
"start": 147,
"end": 150,
"text": "act",
"label": "evaluation dataset",
"score": 0.643493354320526... |
huangwanting/GLM-ASR-Nano-2512 | huangwanting | 2026-04-19T05:38:01Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"glmasr",
"text2text-generation",
"automatic-speech-recognition",
"en",
"zh",
"license:mit",
"eval-results",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | 2026-04-19T05:38:01Z | # GLM-ASR-Nano-2512
<div align="center">
<img src=https://raw.githubusercontent.com/zai-org/GLM-ASR/refs/heads/main/resources/logo.svg width="20%"/>
</div>
<p align="center">
👋 Join our <a href="https://raw.githubusercontent.com/zai-org/GLM-ASR/refs/heads/main/resources/wechat.png" target="_blank">WeChat</a> comm... | [
{
"start": 2,
"end": 19,
"text": "GLM-ASR-Nano-2512",
"label": "benchmark name",
"score": 0.9364330768585205
},
{
"start": 356,
"end": 373,
"text": "GLM-ASR-Nano-2512",
"label": "benchmark name",
"score": 0.9561209082603455
},
{
"start": 1029,
"end": 1045,
... |
vdjhuy213/ppo-Huggy | vdjhuy213 | 2026-01-12T00:11:56Z | 0 | 0 | ml-agents | [
"ml-agents",
"tensorboard",
"onnx",
"Huggy",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Huggy",
"region:us"
] | reinforcement-learning | 2026-01-12T00:11:47Z | # **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
We... | [] |
hyan/qwen2-7b-test-v5 | hyan | 2025-12-17T05:54:15Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"generated_from_trainer",
"trl",
"sft",
"base_model:Qwen/Qwen2-VL-7B-Instruct",
"base_model:finetune:Qwen/Qwen2-VL-7B-Instruct",
"endpoints_compatible",
"region:us"
] | null | 2025-12-17T03:58:00Z | # Model Card for qwen2-7b-test-v5
This model is a fine-tuned version of [Qwen/Qwen2-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
question = "If you had a time machine... | [] |
g-assismoraes/Qwen3-4B-Base-faquad | g-assismoraes | 2025-08-21T03:00:04Z | 0 | 0 | transformers | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"generated_from_trainer",
"conversational",
"base_model:Qwen/Qwen3-4B-Base",
"base_model:finetune:Qwen/Qwen3-4B-Base",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | 2025-08-21T02:02:09Z | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Qwen3-4B-Base-faquad
This model is a fine-tuned version of [Qwen/Qwen3-4B-Base](https://huggingface.co/Qwen/Qwen3-4B-Base) on an ... | [
{
"start": 251,
"end": 269,
"text": "Qwen/Qwen3-4B-Base",
"label": "benchmark name",
"score": 0.6852025985717773
},
{
"start": 299,
"end": 312,
"text": "Qwen3-4B-Base",
"label": "benchmark name",
"score": 0.6067611575126648
},
{
"start": 396,
"end": 400,
"... |
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